Time-Variant Pilot- and CP-Aided Channel Estimation for GFDM

Ehsanfar, Shahab; Chafii, Marwa; Fettweis, Gerhard

doi:10.1109/icc.2019.8761411

Cited by 6 publications

(2 citation statements)

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“…Considering that b ≤ B number of Payload-UW blocks have been transmitted after the preamble, and thus, b + 1 channel estimations are available, we apply a Wiener-Hopf filter analogously as in [23] to improve the channel estimation at block b, although, with the main difference that the Wiener filter is being applied solely to use the estimated CIRs to obtain an improved estimation of the channel at the center 3 of the payload block b. Fig.…”

Section: B Adaptive Filteringmentioning

confidence: 99%

“…Once the estimations have been filtered, the resulting vector (ˆ h q,i,b,W ) =0:L−1 is being used for the equalization of the corresponding block. The adaptive filtering based on Wiener-Hopf Approach [21], [23] follows: Let R h ∈ C (b+2)×(b+2) be the temporal auto-correlation matrix of the channel tap at the respective time samples, i.e.,…”

Section: B Adaptive Filteringmentioning

confidence: 99%

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On UW-Based Transmission for MIMO Multi-Carriers With Spatial Multiplexing

Ehsanfar

Chafii

Fettweis

2020

IEEE Trans. Wireless Commun.

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In this paper, we design a frame structure for unique word (UW) based transmission of multiple-input-multiple-output (MIMO) systems under doubly-dispersive wireless channel conditions. We elaborate an energy and spectral efficiency analysis of a MIMO UW-based system vs. a conventional MIMO cyclic prefix (CP)-based system. Considering the UW-based transmission for a MIMO multi-carrier, we derive its signal processing algorithms for channel estimation and joint channelequalization-and-demodulation. Through theoretical derivations as well as extensive simulations, we show that the proposed MIMO UW-based system significantly outperforms the state-ofthe-art approaches. I. INTRODUCTION T OWARDS the sixth generation (6G) cellular networks, new applications and use-cases are being enabled for the vertical markets, while also new challenges for a holistic approach and more efficient service provisioning are being defined. Thanks to the flexible physical layer definitions in latest release of fifth generation (5G) New Radio (NR) [1], diverse services namely enhanced-mobile-broadband, ultrareliable-low-latency-communication, and massive machinetype-communication are envisioned to coexist within the same time interval and the same frequency band. A major advancement for realizing this coexistence is the massive multipleinput multiple-output (MIMO) technology which can be used for three key concepts, i.e., beamforming, spatial diversity and spatial multiplexing. While employing the MIMO technology for spatial diversity or spatial multiplexing, the mobility of the users becomes limited because a large number of channel parameters requires a long training sequence that together with the data packet, must fit within the channel coherence time. Unique-word (UW) transmission is a promising candidate that facilitates per-block synchronization and channel estimation [2], [3], [4]. The main concept is to replace the cyclic prefix (CP) of random nature by a deterministic sequence that is known to both transmitter and receiver. Hence, maintaining the advantages of CP in terms of robustness against multipath channels, UW allows fast channel tracking in highly mobile Manuscript

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Section: B Adaptive Filteringmentioning

confidence: 99%

Section: B Adaptive Filteringmentioning

confidence: 99%